Arize vs GitHub

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

GitHub is the stronger AI pick in MLOps Platforms: it has a visibility score of 9 versus 1.5 for Arize, and ranks ahead in 100% of the answers that name both.

Choose Arize if…

You need SOC 2 Type II or ISO 27001 or HIPAA or GDPR coverage
Flat tiers pricing suits your budget better than per seat

Choose GitHub if…

You want the brand AI engines rank higher (9 vs 1.5)
You want a lower entry price ($4 vs $50)
AI answers describe it more positively (48% vs 20% positive)
You need SOC 1 Type 2 or SOC 2 Type 2 or ISO/IEC 27001 or CSA STAR Level 2 or FedRAMP Tailored ATO coverage

AI visibility side by side

Latest weekly run · Nov 2

Metric	Arize	GitHub
Visibility score	1.5%	9%
Change vs last week	New	New
Rank in MLOps Platforms	#34	#11
Share of voice	0.7%	2%
Mentions this run	5	14
Positive in AI answers	20%	48%

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Arize 0pp · GitHub 0pp over 0 weekly runs.

Engine by engine

GitHub leads on 3 of 3 engines

ChatGPT

2.8%

11.5%

AI Mode

0.9%

5.6%

Perplexity

0.9%

10%

ArizeGitHub

Head to head in AI answers

2 engine answers name both brands

0Arize ranked higher

2GitHub ranked higher

Prompt	Engine	Arize	GitHub
What should an MLOps platform integrate with?	ChatGPT	#18	#4
What should an MLOps platform integrate with?	AI Mode	#13	#4

Features, pricing & fit

Dimension	Arize	GitHub
Pricing model	Flat tiers	Per seat
Entry price	Free; paid from $50 / mo	Free; paid from $4 per seat / mo
Free plan	Yes	Yes
Deployment	SaaS, with self-hosted deployment on the Enterprise plan; Phoenix runs locally or self-hosted.	Cloud service (GitHub.com and GitHub Enterprise Cloud) and self-hosted GitHub Enterprise Server
Integrations	40+	—
Compliance	SOC 2 Type II, ISO 27001, PCI DSS, HIPAA, GDPR	SOC 1 Type 2, SOC 2 Type 2, ISO/IEC 27001, CSA STAR Level 2, PCI DSS, FedRAMP Tailored ATO
Support	Community, Email, Dedicated support on Enterprise	Community support (Free plan), Web-based support (Team plan), Premium support with 24/7 web and phone support and a 30-minute SLA on urgent tickets (Enterprise)
Founded	2020	2008
Headquarters	—	San Francisco, California
Employees	51–200	501–1,000
Funding	Series B-1 extension · $131M raised	Round led by Sequoia Capital · $350M raised
Best for	AI engineering teams building and running production AI agents and LLM applications who need observability and evaluations.	Development teams, from individuals to enterprises, that build, review, and ship software on one platform.